Associate, SMA Data Product Manager

NY7 - 50 Hudson Yards, New York, United States

BlackRock

Seit über 30 Jahren arbeitet BlackRock daran, die Wirtschaft zu stärken und Anlegern zu ihren finanziellen Zielen zu verhelfen.

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About this role

Team Overview

BlackRock SMA Solutions helps clients customize portfolios for unique tax, values-alignment, or investment exposures across direct indexing, fixed income, active equity, and multi-asset. We deliver world-class service to all of our clients, from wealth advisors to family offices to endowments and foundations.

About this Role

 Skilled at translating business requirements into tech specifications and processes? Interested in supporting technology infrastructure and data processes? Look no further! We have a fast-paced role at the intersection of tech and investments

We are looking for hardworking individuals to partner with product leads, architects and engineers to scale our investment platform.

With over $200B in client assets across direct index and active strategies, our customized solutions use individual securities, BlackRock Mutual Funds and iShares ETFs to customize, diversify, and tailor investment solutions to HNW/UHNW and Institutional clients.

 

Responsibilities:

  • Manage the development lifecycle, from conception to launch, ensuring technical excellence and adherence to standard methodologies
  • Collaborate with team members to collect detailed data requirements and write technical specifications for developers
  • Prioritize and align roadmap with commercial goals
  • Support engineers on triaging and prioritizing critical issues
  • Analyze and interpret large datasets for informed decision making
  • Deliver impactful presentations that succinctly convey complex concepts and project updates to team members, stakeholders, and executive leadership.
  • Effectively navigate the organizational structure, cultivating relationships and utilizing networks to ensure the success of projects.

 

Skills/Experience:

  • Strong organization and interpersonal skills
  • Experience with project management software like Jira/Azure DevOps as well as collaboration and communication tools
  • Proficiency with data analytics and visualization tools such as Power BI
  • Basic knowledge of programming languages such as Python, Java, SQL, and data frameworks like Hadoop
  • Experience with data engineering practices, including data pipeline design, ETL processes, and real-time data processing is a plus
  • Familiarity with API integrations, cloud computing platforms and large-scale data storage solutions is desirable but not required

 

Qualifications:

  • Bachelor's in Computer Science, Engineering, or equivalent work experience
  • At least 2 years of experience in financial services in data product management or a technical track
  • Solid understanding of data engineering, and application development
  • Relevant certifications such as PMP, CSPO, or equivalent are a plus

 

 


 

For New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,500.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.


 

For Princeton, NJ Only the salary range for this position is USD$112,000.00 - USD$140,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs Azure Computer Science Data Analytics DevOps Engineering ETL Finance Hadoop Java Jira Power BI Python SQL

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Salary bonus

Region: North America
Country: United States

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